How to Use the FormKeep MCP in LangChain

Q: How do I connect FormKeep to LangChain?

Use pip install langchain-mcp-adapters langgraph. Configure a MultiServerMCPClient with your endpoint URL, call client.gettools(), and pass the array to your agent constructor.

Q: Can LangChain agents delete FormKeep data?

Yes. You can expose the deletesubmission tool to your agent. If you want read-only access, simply filter the tools array before passing it to the agent.

Q: How does LangSmith track FormKeep API calls?

Every call to tools like getsubmission registers as a discrete step in your LangSmith trace. You see the exact input parameters and the JSON response returned from the server.

Build multi-step reasoning pipelines that manage your form data directly inside LangChain.

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Connect FormKeep MCP to LangChain

Create your Vinkius account to connect FormKeep to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup FormKeep with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain form data into LangChain agents

Your agent uses `list_forms` to map available endpoints before pulling specific metadata with `get_form_details`. This feeds directly into your ReAct loop, letting the agent decide which form schema matches the current user request. You get full observability through LangSmith tracing. When the agent calls `list_submissions`, you see the exact token usage and latency for that HTTP request. The output routes immediately into your next chain link.

Automate submission cleanup

The `delete_submission` tool allows your agent to prune old or non-compliant form entries without human intervention. You write the logic for what constitutes a bad submission, and the agent executes the removal. Combining this with `get_submission` creates a self-healing data pipeline. The agent reads the specific entry, evaluates the content against your custom rules, and drops the record if it fails validation.

Read and route form entries

Agents execute `list_submissions` to pull batches of recent contact requests or survey responses. They parse the raw JSON and route the extracted text to downstream database integrations. This MCP Server handles the authentication and endpoint mapping. You just pass the tools to your LangChain agent, and it handles the pagination and data extraction automatically.

Setup guide

Set up FormKeep MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes FormKeep tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "formkeep-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent FormKeep transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FormKeep. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about FormKeep MCP in LangChain

Use `pip install langchain-mcp-adapters langgraph`. Configure a `MultiServerMCPClient` with your endpoint URL, call `client.get_tools()`, and pass the array to your agent constructor.

Yes. You can expose the `delete_submission` tool to your agent. If you want read-only access, simply filter the tools array before passing it to the agent.

Every call to tools like `get_submission` registers as a discrete step in your LangSmith trace. You see the exact input parameters and the JSON response returned from the server.

You can combine these form management tools with other MCP servers in the same application. The agent decides which server to call based on the specific task.

Your form submissions and metadata stay within the V8 Isolate Sandbox. The MCP connection is ephemeral, meaning the raw JSON from `list_submissions` drops out of memory the second the session ends.

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